Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/3062#issuecomment-96406891
Sorry, I only verified SVM and thought logistic regression was implemented
the same way. For SVM, could we try `normalizationMethod = none` and set the
threshold as the intercept of the second regression table?
~~~xml
<RegressionModel functionName="classification" normalizationMethod="none"
...
<RegressionTable targetCategory="YES" ...
<RegressionTable targetCategory="NO" intercept="0.05"
...
~~~
Maybe we can do the same for binary logistic regression. I don't know
whether this is the correct way to do it by looking at the PMML specification.
Need help from @vruusmann
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